TY - GEN
T1 - Boiling Mind-A Dataset of Physiological Signals during an Exploratory Dance Performance
AU - Fu, Zhuoqi
AU - Han, Jiawen
AU - Zheng, Dingding
AU - Sugawa, Moe
AU - Furukawa, Taichi
AU - George, Chernyshov
AU - Danny, Hynds
AU - Marcelo, Padovani
AU - Karola, Marky
AU - Minamizawa, Kouta
AU - Ward, Jamie A.
AU - Kunze, Kai
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/2/22
Y1 - 2021/2/22
N2 - The relationship between audience and performers is crucial to what makes live events so special. The aim of this work is to develop a new approach amplifying the link between audiences and performers. Specifically, we explore the use of wearable sensors in gathering real-time audience data to augment the visuals of a live dance performance. We used the J!NS MEME, smart glasses with integrated electrodes enabling eye movement analysis (e.g. blink detection) and inertial motion sensing of the head (e.g. nodding recognition). This data is streamed from the audience and visualised live on stage during a performance, alongside we also collected heart rate and eye gaze of selected audience. In this paper we present the recorded dataset, including accelerometer, electrooculography(EOG), and gyroscope data from 23 audience members.
AB - The relationship between audience and performers is crucial to what makes live events so special. The aim of this work is to develop a new approach amplifying the link between audiences and performers. Specifically, we explore the use of wearable sensors in gathering real-time audience data to augment the visuals of a live dance performance. We used the J!NS MEME, smart glasses with integrated electrodes enabling eye movement analysis (e.g. blink detection) and inertial motion sensing of the head (e.g. nodding recognition). This data is streamed from the audience and visualised live on stage during a performance, alongside we also collected heart rate and eye gaze of selected audience. In this paper we present the recorded dataset, including accelerometer, electrooculography(EOG), and gyroscope data from 23 audience members.
KW - Audience Engagement
KW - Physiological Signals
KW - Visualization
UR - https://www.scopus.com/pages/publications/85111001544
UR - https://www.scopus.com/pages/publications/85111001544#tab=citedBy
U2 - 10.1145/3458709.3459006
DO - 10.1145/3458709.3459006
M3 - Conference contribution
AN - SCOPUS:85111001544
T3 - ACM International Conference Proceeding Series
SP - 301
EP - 303
BT - Proceedings - AHs 2021
PB - Association for Computing Machinery
T2 - 2021 Augmented Humans Conference, AHs 2021
Y2 - 22 February 2021 through 24 February 2021
ER -